How cann soccer improve statistical learning?

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Published: Jul 31, 2014
Keywords:
statistics, linear regression, quantitative methods, soccer, fun

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Enivaldo C. Rocha
Federal University of Pernambuco, Brazil
Dalson Britto Figueiredo Filho
Federal University of Pernambuco, Brazil
Ranulfo Paranhos
Federal University of Alagoas, Brazil
José Alexandre Silva Jr.
Federal University of Alagoas, Brazil
Denisson Silva
Federal University of Alagoas, Brazil

Abstract

This paper presents an active classroom exercise focusing on the interpretation of ordinary least squares regression coefficients. Methodologically, undergraduate students analyze Brazilian soccer data, formulate and test classical hypothesis regarding home team advantage. Technically, our framework is simply adapted for others sports and has no implementation cost. In addition, the exercise is easily conducted by the instructor and highly enjoyable for the students. The intuitive approach also facilitates the understanding of linear regression practical application.

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How to Cite
Rocha, E. C., Filho, D. B. F., Paranhos, R., Silva Jr., J. A., & Silva, D. (2014). How cann soccer improve statistical learning?. International Journal for Innovation Education and Research, 2(7), 83-87. Retrieved from https://ijier.net/index.php/ijier/article/view/211
Issue
Vol 2 No 7 (2014): International Journal for Innovation Education and Research
Section
Articles
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References

Berk, R. A., and Nanda, J. P. (1998). “Effects of jocular instructional methods on attitudes of anxiety and
achievement in statistics courses”, HUMOR: International Journal of Humor Research, 11, 383-409.
Berk, R. A., and Nanda, J. P. (2006). “A randomized trial of humor effects on test anxiety and test
performance”, HUMOR: International Journal of Humor Research, 11, 383-409.
Blumenfeld, E., and Alpern, L. (1985). The Smile Connection: How to Use Humor in Dealing With
People, Englewood Cliffs, NJ: Prentice Hall.
Bryant, J.; Comisky, P.W.; Crane, J. S.; and Zillmann, D. (1980). “Relationship between college teachers’
use of humor in the classroom and students’ evaluations of their teachers,” Journal of Educational
Psychology, 72, 511-519.
Flowers, J. (2001). “The value of humor in technology education,” Technology Teacher, 60, 10-13.
Figueiredo Filho, D. B. et al. (2011). O que Fazer e o que Não Fazer com a Regressão: pressupostos e
aplicações do modelo linear de Mínimos Quadrados Ordinários (MQO). Revista Política Hoje, Vol. 20, n.
1, p. 44-99.
Friedman, H. H.; Friedman, L. W.; and Amoo, T. (2002). “Using humor in the introductory statistics
course”, Journal of Statistics Education, 10(3)
www.amstat.org/publications/jse/v10n3/friedman.html
Friedman, H. H.; Halpern, N.; and Salb, D. (1999). “Teaching statistics using humorous
anecdotes”, Mathematics Teacher, 92, 305-308.
Garner, R. L. (2006). “Humor in Pedagogy: How Ha-Ha Can Lead to Aha!,” College Teaching, 54, 177-
180.
Gelman, A. and Hill, J. (2006). Data Analysis Using Regression and Multilevel/Hierarchical Models.
Cambridge University Press; 2006
Kaplan, R. M., and Pascoe, G. C. (1977). “Humorous lectures and humorous examples: Some effects upon
comprehension and retention”, Journal of Educational Psychology, 69, 61-65.
Lewis-Beck, Michael (1980). Applied Regression: an introduction. Series Quantitative Applications in the
Social Sciences. SAGE University Paper.
Lundberg, E., and Thurston, C. M. (1992). If They're Laughing, They're Not Killing Each Other, Fort
Collins, CO: Cottonwood Press.
Pyrczak, F. (1998). Statistics With a Sense of Humor, Los Angeles, CA: Pyrczak Publishing.
Runyon, R. P. (1977). Winning with Statistics: A Painless First Look at Numbers, Ratios, Percentages,
Means, and Inference, Reading, MA: Addison-Wesley.
Schroeder, L. D.; Sjoquist, D. L.; & Stephan, P. E. (1986). Understanding regression analysis: An
introductory guide. Beverly Hills: Sage Publications.
Tabachnick, Barbara; Fidell, Linda. (2007). Using multivariate analysis. Needham Heights, Allyn e Bacon.
Whisonant, R. D. (1998). The Effects of Humor on Cognitive Leaning in a Computer-Based Environment,
Unpublished doctoral dissertation, Virginia Polytechnic Institute, Blacksburg, VA.